Skip to main contentSkip to navigation
Ovarian Cancer Research Alliance
Research Exchange
Donate

Investigator

Druv M. Patel

Memorial Sloan Kettering Cancer Center

Research Interests

DMPDruv M. Patel
Papers(2)
Ovarian cancer mutati…Multimodal data integ…
Collaborators(10)
Kevin M. BoehmIgnacio Vázquez-GarcíaSohrab P. ShahDmitriy ZamarinKara Long RocheMarc J. WilliamsMatthew LennonMichelle WuFlorian UhlitzRitika Kundra
Institutions(2)
Memorial Sloan Ketter…Icahn School of Medic…

Papers

Ovarian cancer mutational processes drive site-specific immune evasion

High-grade serous ovarian cancer is a genomically complex malignancy. Here the authors integrate whole-genome sequencing, single-cell RNA sequencing, digital histopathology and multiplexed immunofluorescence across 160 tumour sites from 42 patients, revealing that mutational processes shape site-specific immune evasion.

Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

Integration of genomic, histopathology, radiomics and clinical data using machine learning improves risk stratification for 444 patients with high-grade serous ovarian cancer.

2Works
2Papers
20Collaborators
Cystadenocarcinoma, SerousOvarian NeoplasmsTumor Microenvironment
Links & IDs
0000-0002-5596-4961
Ovarian Cancer Research Alliance

A global leader in the fight against gynecologic cancer

LIVING LAB
Join the Living LabOur TeamGovernance & EthicsSocial Media Toolkit
DISCOVERY LAB
Discovery LabHow It WorksUpcoming WebinarsContribute Data
ABOUT
About OCRAGet InvolvedMake a DonationContact Us

© 2025 Ovarian Cancer Research Alliance, Inc.

PrivacyTermsAccessibility